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Cloudera Engineer

Unlock employer Riyadh, Saudi Arabia Posted: 28 Apr 2026

Financial

  • Estimate: $60k - $85k*
  • Zero income tax location

Accessibility

  • Apply from abroad
  • Visa Provided

Requirements

  • Experience: Unspecified
  • English: Professional

Position

We are seeking a highly skilled Cloudera Engineer to join our Big Data team. In this role, you will design, build, and manage Hadoop clusters using Cloudera technologies, ensuring optimal performance, scalability, and security. You will collaborate with cross-functional teams to deliver robust big data solutions that power critical business insights.

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Location:
Riyadh, Saudi Arabia

Key Responsibilities

  • Build and configure new clusters and projects involving Cloudera (CDH) technologies.
  • Manage storage, performance tuning, and volume management for Hadoop clusters.
  • Troubleshoot and resolve application and cluster issues, escalating when necessary.
  • Handle cluster design, capacity planning, performance optimization, monitoring, and scaling.
  • Perform standard system administration tasks, including user management, permissions, and upgrades.
  • Monitor and resolve day-to-day cluster issues, ensuring SLA compliance.
  • Support users with administrative needs and optimize job performance.
  • Perform SQL queries and performance tuning across all levels.
  • Collaborate with cross-functional teams to set up production environments and enable business solutions.
  • Develop scripts to automate reporting and maintenance activities.
  • Implement backup and recovery strategies using Cloudera Replication Manager.
  • Address live performance and stability issues and prevent recurrence.
  • Support data engineering efforts, ETL pipelines, and data science teams using Python and Scala.

What We’re Looking For

  • Proven experience in Hadoop administration and Cloudera (CDH) technologies.
  • Strong knowledge of cluster design, performance tuning, and troubleshooting.
  • Proficiency in SQL and scripting for automation.
  • Familiarity with backup/recovery strategies and operational best practices.
  • Ability to support data engineering and data science teams.
  • Strong problem-solving skills and ability to work under pressure.
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